Testimonials from participants DSF bootcamp 2017, 2018, 2019 Testimonials from DSF bootcamp participants Nicolas Schuler Fall 2019 Before I started the Certificate in Data Science Fundamentals, I often heard terms like "machine learning" or "artificial intelligence". So I knew that this existed, but I could neither form concrete ideas about it nor use such methods. In retrospect, the Workshop in Data Science Fundamentals has been probably one of the most enlightening courses that I attended at the university. In addition to theoretical explanations, the course mainly focuses on practical implementations, which means that a lot of methodological knowledge is built up during the classes. After that, working on the group project is a good opportunity to apply this knowledge in a field you are interested in. In short, I definitely encourage my colleagues to apply for the program and recommend it to anyone interested in statistics, computer science, programming, and similar fields. The amount of time and effort spent in it is definitely well worth it, but should not be underestimated, both during and after the break. Ernst Ruben Fall 2019 Fairly early on in my life, I have begun to discover the immense potential of writing code. Although at that time I was barely able to make a crude rendering of a bug move across the screen, I was transfixed with the idea of using rule based logic to build powerful, computerized tools. The spark ignited in me at a young age began to grow stronger and lead me to look at challenges in business and studies in a more analytical and structured way. The DSF program seemed to be a unique opportunity to further my skills in this area and the DSF Fundamentals Workshop proved this impression to be correct. Retrospectively, I am astounded by the amount of knowledge as well as highly transferrable skills this course has given me. I experienced the workshop to be a well-balanced mixture of theoretical bases and concepts as well as practical learning applied to a project. I do not want to marginalize the amount of work that goes into the workshop and the project work, but for me, the investment has already paid off and I am convinced, that it will continue to pay off in the future. Concluding, my main point to give to students considering to enroll in the DSF program is that although it requires significant investment of time and effort, this investment is well worth it and that the program is a unique chance to acquire skills in a field only gaining in importance. Marc Blöchlinger Fall 2019 The Data Science Fundamentals program ignited a fire that I did not know could even be ignited. Prior to this, the little statistics and data science we discussed during university courses never seemed really interesting to me. But after having spent 2 intense weeks during the bootcamp immersed in this environment, I started to realize what an interesting and deep topic this is. The best part about it, in my opinion, is that you really dive in deep and don’t just superficially scratch the topics. For example, just knowing what a neural network is or having coded one by hand are two fundamentally different levels of understanding. This immensely benefits you as you better understand the possibilities and limits of the different approaches when used in real business cases. Christina Borner Fall 2019 Data Science Fundamentals program is unique at the HSG and it provides you with an opportunity to learn some data science skills otherwise difficult to acquire. Even as a complete beginner as myself, the course is set up in a way that everybody can profit. Especially the two-week bootcamp in the fall break created a special atmosphere, with the focus entirely on data science and no other school work to distract us, which built a great group feeling. A highlight of the course was also definitely working on our own projects. By doing so we were able to apply the skills learned in the break directly. Our project, for example, was about predicting the voting behavior for all Swiss municipalities, because we were interested in mixing the fields of political science with data science, but that choice is entirely up to you. I can only say that the DSF program far exceeded my expectations and I can only recommend it to anybody with an interest in working with data. Kim Follonier Fall 2019 Starting off, I would like to state that this program is a once-in-a-lifetime opportunity and if you are even the least bit curious about what data science entails, you should consider participating. Personally, I have never learned so much in such few time about a topic that I didn't have previous experience with. The courses give you new insights and the motivated group participating in this program makes for a great learning atmosphere. One of the main advantages is not only starting to understand the matter, but also to see the many business possibilities that come along with it, which was particularly important to me as a BA-student. Programming and interpreting your first very own machine learning algorithms for a business case is extremely rewarding and opens your eyes to the whole "data-science-world" thatis gaining so much importance for the future. So I would conclude by saying that if you are interested curious about datascience, you should take advantage of this challenging yet rewarding opportunity. As learning about this exciting field, that may be unknown to you now, definitely enriches your studies at the HSG. Leandra Bräuninger Fall 2018 “I am personally very interested in technical questions but getting a major in a technical field I would have felt that it lacked the view of the bigger picture. Now studying International Affairs, I appreciate the broad approach it gives me, but I sometimes miss the technical details of the real world. Therefore, the DSF Program is the perfect addition to my studies and with it I can get the best of both worlds and combine them. It gives me the ability to speak both the technical as well as the business (or in my case International Affairs)-oriented language and solve problems from a unique point of view.” Ruben Burdin Fall 2018 “Why did I join the DSF programme?<br> As soon as I saw the DSF content presentation on the university's website, I immediately realized that this would be an unequalled opportunity to acquire new skills and to make the difference. Everybody is conscious that the world is changing and that technology and Data Science form nowadays an integral part of the management practice. Leaders qualified in technology are more than ever a scarce resource for companies and integrating the DSF right from the third semester of the bachelor is by far one of the most valuable asset one could achieve at the HSG. The DSF programme is an all-in-one package to learn and understand the basics of Data Science with an eye on the business perspective. Coding, applied mathematics and guest lectures during the workshop will prepare you to make the most of your group project and the following courses that make up the certificate. Last but not least, the DSF is a highly selective programme that gathers the most motivated students of the HSG sharing an interest for Data Science to build new skills and network, this is also what makes this experience exceptional. I am really satisfied with my experience until now, and I can only recommend to apply for this innovative programme.” Andreas Camenisch Fall 2018 “The DSF workshop helped me get an overview of the basic ideas and concepts of machine learning and artificial intelligence. Through various guest lectures by practitioners and theorists, we saw the relevance, possibilities and limitations of data science and got a feeling of the big part that it is without a doubt going to play in our future society. I now understand how some important machine learning algorithms work and why a specific algorithm is chosen for a certain task. This is an important quality for members of the business world who want to collaborate with technical specialists from the field of data science.” Lukas Neuhauser Fall 2018 Fundamentals of Data Science is an exceptional course, not only due to the steep learning curve I experienced but also because I enjoyed challenging myself in a community of like-minded people. In terms of content, the focus on a deep conceptual understanding empowered me to stay involved and pursue the development of expertise in this area. This course clearly demonstrates that the future belongs not only to data scientists; it is also the responsibility of economists and other societal actors to reflect on analytics-based solutions. Jonas Röser Fall 2018 “The data science fundamentals programme allowed me to develop a well-founded understanding of the most central machine learning and artificial intelligence concepts. Centred around a two-week bootcamp with subsequent project work, the programme connected me with like-minded students eager to dive deep into mathematics and data handling in the face of machine learning. Especially during the highly intensive project phase I was able to improve my coding skills and replace superficial misconceptions present in the general public with actual knowledge by applying machine learning instead of talking about it. My key take-away from this programme is an intuition that allows me to sense machine learning value in projects and in daily life. Highly engaged and involved, the people in charge really care for a programme that is gaining more and more relevance in an increasingly data-driven world.” Michael Tsesmelis Fall 2018 The DSF Bootcamp is the ideal opportunity to kickstart your entry into the world of data. Over a period of two weeks, you are introduced to countless conceptual and technical aspects of Data Science. As it takes place over ten entire days, your mind is allowed a complete dive into the subject, without any distraction. Only this way can you progress in what is arguably the most important discipline of the coming decade. Week 1, taught by Professor Binswanger, introduces you to Programming, Maths in Data Science and Machine Learning. What is particularly underpinned in this first phase is the way machines learn. Gradient Descent is perhaps the most salient tool that is presented. A data scientist’s job is to use the trio of instruments mentioned above to analyse data and produce meaningful results. This is the subject of Week 2, taught by Professor Ortega. Here, intelligent algorithms such as Naïve Bayes Classifiers and Neural Networks help solve more complex problems with real-world applications. Overall, the DSF Bootcamp will help any attentive student make tremendous strides towards understanding what Data Science is and how it is used. The theory, interspersed with interesting exercises, gradually builds up your skillset. This affords you a solid basis for any further step you might take in this discipline. Ira Welz Fall 2018 This course is truly amazing. You feel like entering digital Narnia: A whole new world of thinking differently. Structured like a programmer, rational like a statistician and abstract like a mathematician. It is you who is entering the entrepreneurial spirit. You are creating something truly not everyone can do: Your own, first machine learning algorithm. The course is hard and demanding, but definitely worth your time. Gather institutional perspectives for personal growth while obtaining a powerful toolset. What for? To become an ambassador of the upcoming era of data analytics. There’s much to explore no one has done before in this young field, and DSF offers you a treasure here: The entry ticket, or wardrobe door to digital Narnia. Aline Zimmermann Fall 2018 When I first heard about the DSF program, I was rather intimidated because I did not have any experience in programming and data handling. But I was aware that the topic would gain importance in the years to come. Therefore, it appeared to me as a “must do”. Moreover, I came to the conclusion, that this program is unique in that it offers skills and techniques which I hardly could acquire anywhere else. I therefore was overly happy that I got accepted. The program turned out to be a massive experience. The two weeks workshop during the break was intense. The first challenge was a day-long assignment where we had to write a code to analyse a set of data. The second challenge was a project following the workshop: Our group decided to code an algorithm which forecasts flight delays. The collaboration and the exchange with the team members of the program was a rewarding experience. The great team spirit and the excellent motivation of the participants were very supportive in tackling the various problems the program offered. Hands-on programming is one pillar of the DSF program, the theoretical foundation on data interpretation is a second pillar. We coded mainly in the programming language R, but we had as well an introduction into the Python programming language as well as into Latex, which is useful to format papers with mathematical syntax. I am happy about this experience, particularly because I learnt elementary techniques regarding the handling of large volumes of data as well as key algorithms of machine learning. I am eager to learn more during the upcoming courses. As a bachelor student in Economics I am using R now frequently mainly for calculations or visualization of data. I strongly encourage you to participate in the DSF program. Julian Leopold Fall 2017 The Swiss Data Science Conference 2018 left me with the impression, that there is a real need to bridge the gap between the world of business and data science. Studying at a business school with the DSF certificate to complement, I learn to do exactly this. The certificate program begins with the boot camp. Within two weeks we received a solid data science foundation ranging from basic programming skills over stats and probability to artificial intelligence. More valuable still, the course enabled us to study more advanced concepts and stay in touch with current technological developments by understanding them on an intuitive level. The study of data science as the digital element of the HSGs integrative approach empowered me to recognize unseen opportunities and realize new ideas through the application of data science in a business context.